Modeling Spectral–Temporal Data From Point Source Events

dc.contributor.author Reising, Monica
dc.contributor.author Morris, Max
dc.contributor.author Vardeman, Stephen
dc.contributor.author Vardeman, Stephen
dc.contributor.author Higbee, Shawn
dc.contributor.department Statistics
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2018-02-18T13:53:45.000
dc.date.accessioned 2020-07-02T06:58:11Z
dc.date.available 2020-07-02T06:58:11Z
dc.date.issued 2011-01-01
dc.description.abstract <p>In recent years, a great deal of effort has been invested in developing sensors to detect, locate, and identify “energetic” electromagnetic events. When observed through one type of imaging spectrometer, these events produce a data record that contains complete spectral and temporal information over the event’s evolution. This article describes the development of a statistical model for the data produced by a particular spectral–temporal sensor. While the application is unique in some ways, this approach to model building may be useful in other related contexts. Several plots, estimated parameters, and some additional details for an equation are provided in the Appendix which is available as supplementary material online.</p>
dc.description.comments <p>This article is published as "Modeling spectral-temporal data from point source events." <em>Technometrics</em>, 2011. Vol. 53, No. 2, pp. 183-195, DOI:10.1198/TECH.2011.09014. With Monica Reising, Max Morris, and Shawn Higbee.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/95/
dc.identifier.articleid 1094
dc.identifier.contextkey 10303501
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/95
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90698
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/95/2011_Vardeman_ModelingSpectral.pdf|||Sat Jan 15 02:34:01 UTC 2022
dc.source.uri 10.1198/TECH.2011.09014
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Event discrimination
dc.subject.keywords Infrared
dc.subject.keywords Product correlation
dc.subject.keywords Pseudo-imaging
dc.subject.keywords Spectral imager
dc.title Modeling Spectral–Temporal Data From Point Source Events
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication d398ec8c-7612-4286-b7b8-88f844f10410
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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